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About the Role
Join a small, early-stage team building AI-powered research tools for professional investors, starting with healthcare. As a founding engineer, you will build the infrastructure and products that help AI agents turn diverse data sources into reliable, continuously updated industry models.
Responsibilities
- Build and ship features across frontend applications, real-time systems, and backend infrastructure.
- Create data pipelines and internal tools that help analysts add sources and maintain sector coverage.
- Improve agent-based parsing and extraction systems for greater capability and reliability.
- Own projects end to end, including data inspection, quality assurance, instrumentation, production releases, and debugging.
- Develop a company ontology and an earnings research product.
Requirements
- At least 2 years of experience building, shipping, and operating production systems, with up to approximately 7 years of professional experience.
- Hands-on experience building and deploying agentic AI systems or LLM-based applications in production, including recent work on AI projects.
- Full-stack capability across Python backend development, FastAPI or an equivalent framework, data pipelines, and TypeScript and React.
- Experience with ETL, data modeling, SQL, relational database design and optimization, and PostgreSQL or similar systems.
- Experience with AWS, real-time data systems, observability, monitoring, and debugging distributed systems.
- Strong ownership, sound judgment about when to use AI agents versus deterministic systems, and willingness to work across unfamiliar technologies.
- Must be a U.S. citizen and able to work on-site in New York City.
Skills
- Python
- FastAPI
- TypeScript
- React
- ETL
- Data Modeling
- SQL
- PostgreSQL
- AWS
- Real-time data systems
- Observability
- Monitoring
- Debugging distributed systems
- Financial research
- Capital markets
- Investment banking
- Financial services
- Modern data tools
- Edge infrastructure
- AI/ML tooling
Location
- New York City, New York
Work Type
- On-site
- Full-time
Experience Level
- 2-7 years of professional experience
Salary/Compensations
- $156,000 to $182,000 annually
About the Company
- Building AI-powered research tools for professional investors, starting with healthcare.
- Small, early-stage team.